MotherDuck SQL 上线 prompt_jev() 一周实战反馈
MotherDuck 把 Jev 直接做进 SQL，一周内客户用 prompt_jev() 打标签、给工单打分、标注 agent trace，跑真实生产分析管道。
One week into shipping direct Jev support in MotherDuck SQL and we have (1) maaaaaany billions of tokens generated and (2) way more customers running real production analytics pipelines using prompt_jev() than I expected! What are real customers using prompt_jev() for? - The top use cases are tagging product and event data of varying shapes, and labeling and scoring support tickets, free-form text, and of course sales calls. - Agent productivity is more common than I expected. Lots of customers have tons of agent traces and want to tag them by what they're about. Everyone's trying to get to the bottom of dev productivity & new product analytics w/ their own agents. - Customers of all sizes and stages use it. Big, established accounts, small nearly-dormant ones who don't want to talk to sales springing to life, everything in-between, and tons of new signups who upgraded to our Business plan and immediately started cranking. I'm going live tomorrow (Tues Sept. 29th) at 9:30am PT with @matsonj to dig deeper. Link in reply
这条是引用着另一条写的：x.com/hamiltonulmer/status/2102074494655627281